7+ Speech recognition Jobs in India
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Deep LearningThis job is for Generative AI in visual modality. Candidates with relevant experience only must apply.
The selected candidate is required to perform all the necessary tasks related to data engineering, models selection, use relevant selected libraries/ APIs/ SDKs and creat an Avatar that is visually realistic, with realistic expressions, correct lip synching, and is computationally optimal to run in real time.
The candidate is required to do the necessary designer's tests and documentation as well.
- Ensuring the success of new AI products by focusing on scalability, potential biases, and compliance.
- Perform gap analysis on existing business data. Identify new data points.
- Developing business cases for AI in new and existing products.
- Work with executives and business line stakeholders to define the problems to solve with AI.
- Help prioritise and rank the solutions, develop business cases.
- Work closely with UI/UX, engineering and cross-functional teams to deliver with quick time-to-market and optimal products.
- Formulating product requirements and identifying new opportunities with the help of customer feedback, market analysis, and usability studies.
- Drive product launches including working with public relations team, executives, and other product management team members.
- “Problem solving with AI” mindset.
- Proven work experience in product management as an Associate Product/Product Manager.
- Knowledge and experience with Machine Learning and different Voice & Speech AI concepts such as neural networks, natural language processing, speech-to-text conversion clustering techniques, etc.
- Experience defining and developing a new product or service.
- Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management .
- Solid technical background with understanding and/or hands-on experience in software development and web technologies
- Skilled at working effectively with cross functional teams in a matrix organisation.
- MS/BS degree in Computer Science, Engineering or equivalent preferred.
Data Science
Machine Learning (ML)Outplay is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Outplay is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Outplay early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.
Perks of being an Outplayer :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Outplay is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan.
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security
About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Outplay and push the threshold of conversational intelligence.
Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals
Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment
Phonologies is seeking a Voice Applications / IVR / VUI Developer. This candidate will interface with our IVR Platform Team and use their technical proficiency across different stages of development of application dev and deployment. This is an important role, delivering application design, high quality code, and perform all types of testing and client support activities. The candidate will get an opportunity to work with the pioneer of VoiceXML in India plus a variety of IVR platforms, be part of a learning culture and excellence is rewarded.
Responsibilities
- Development, testing and support of complex Inbound and Outbound call flows using VXML & FreeSWITCH CTI
- Own application/modules, deliver with good quality.
- Troubleshoot live applications, perform root cause analysis, determine cause of problems and resolve issues with other teams, both internal and external.
- Translate business requirements into technical workflows
- Operate independently, with very minimal supervision
Skills
- 6 to 8 years of voice application development experience.
- Well versed in coding with speech technologies (VXML, CCXML, GRXML, SSML, Java Script, XML, MRCP).
- Deep experience in SIP/VoIP technologies.
- Hands-on experience with Voxeo/Aspect, Genesys, Cisco, ININ or Avaya.
- Hands-on experience in deploying voice applications in the cloud.
- Hands-on experience on Linux/Unix.
- Working knowledge of web-services (SOAP or RESTful)
- Knowledge of Contact Center technologies, Automated Call Distribution, Intelligent Routing.
- Knowledge of infrastructure, network, hosting and database platforms, cloud telephony, systems management
- Solid communications skills, both written and verbal.
Qualifications:
- Computer Science or Engineering educational background.
Job Description: Speech Recognition Engineer
3 years of industry experience
Responsibility:
Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or
Deep Speech using PyTorch or Tensorflow
Assist to define technology required for Speech to Text besides core engine
and to design integration of these technologies.
Work on improvement of model's accuracy and guide the team with best practices.
Desired experience:
Good understanding of machine learning(ML) tools.
Should be well versed in classical speech processing methodologies like hidden
Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural
networks (ANNs), Language modeling, etc.
Hands-on experience of current deep learning (DL) techniques like Convolutional
neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term
memory (LSTM), connectionist temporal classification (CTC), etc used for
speech processing is essential.
The candidate should have hands-on experience and any of the end-to-end
implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep
Speech
Hands-on PyTorch and Tensorflow experience is desirable.
Experience in techniques used for resolving issues related to accuracy, noise,
confidence scoring etc.
Ability to implement recipes using scripting languages like bash
Ability to develop applications using python, c++, Java
Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT
Experience in CI/CD pipeline, MLOps processes
Hands-on deployment experience using cloud applications like AWS, GCP
Location: Bangalore
Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET
or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)
techniques like CNN, RNN, LSTM etc., AWS, GCP
Machine Learning (ML)- Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
- Read and keep up with the research in Speech recognition, Machine Learning, Deep
- Understand and implement research papers to the business problem and build the
- Contribute to applied research and open source community
- Mentor and guide team members
Machine Learning (ML)Deep Learning------------------------
Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
* Limited resource Speaker Diarization on mono-channel recordings in noisy environment.
* Speech Enhancement to improve accuracy of downstream speech analytics tasks.
* Automated Speech Recognition for accent heavy audio with a noisy background.
* Speech analytic tasks, which include: emotions, empathy, keyword extraction.
* Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data.
A typical day at work
-----------------------------
You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!
What should you know?
---------------------------------
* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
* Experience with literature review either in academia or industry.
* Proficiency in at least one programming language such as Python, C, C++, Java, etc.
* Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.
* Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
Why DeepAffects?
--------------------------
* You’ll learn insanely fast here.
* Esops and competitive compensation.
* Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published.
* Independent work, flexible timings and sense of ownership of your work.
* Mentorship from distinguished researchers and professors.
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